Current for-sale inventory
Find online businesses that fit your capital, income and workload
Start with your budget, income target, workload and preferred business model. DDR screens the current market against those criteria and puts each listing into a consistent format. That makes it easier to compare the economics without working through every marketplace listing yourself. Open any match to see the listing in more detail. You can see the figures reported in the marketplace listing and the calculations DDR derives from them. DDR also points out important information that is missing from the listing.
Acquisition criteria
Tell DDR what you’re looking for
Start by setting the maximum amount you want to invest. Then choose the monthly profit you would like the business to generate and how much time you can give it each week. You can also choose a preferred business model. Fit Score compares every current listing with those choices and gives each one a score from 0–100. A higher score means the listing is closer to what you’re looking for. It does not tell you whether the business is a good investment.
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My Buy Box
Your Buy Box criteria stay in this browser and are not uploaded. Digital Deal Research's first-party measurement may record that a screen was run and the number of exact matches, without sending your saved criteria or a visitor or session identifier.
- Investment
- Monthly profit
- Owner workload
- Business model
Marketplace snapshot
Current market
- Current opportunities
- 173
- Median asking price
- $285,979
- Median monthly profit
- $10,060
- Median listing multiple
- 30.0× monthly
- Median owner workload
- 10 hrs / week
Screening results
Matches your Buy Box
Fit Score shows how closely each result matches your Buy Box. A higher score means the listing is closer to the criteria you chose. The score does not tell you whether the business is a good investment or how risky it is.
No current listings could be scored against these criteria. Marketplace inventory changes over time — try widening your budget, profit or workload targets.
Potential matches — missing data
Every disclosed figure fits your criteria, but at least one figure your Buy Box needs is not disclosed, so DDR cannot confirm the whole Buy Box. An undisclosed figure scores no Fit Score points.
Close matches
These listings miss one or more of the criteria you chose. They are shown because they are the closest alternatives in the current inventory.
Transparent methodology
How Fit Score works
Fit Score compares each listing with the budget, income, workload and business model you chose. The four criteria do not carry the same weight. The percentages on the right show how the score is built. A high score means the listing fits your Buy Box closely. It does not tell you whether the business is high quality or low risk. The financial figures shown with the score are based on values disclosed in the marketplace listing. DDR applies its published calculations to those values.
- Budget
- 30%
- Income
- 30%
- Workload
- 25%
- Business model
- 15%
Market intelligence & research
More than listing screening
Digital Deal Research publishes the market data behind the screener and explains how the calculations work. That lets you check where a figure came from and how it should be interpreted, rather than simply taking the result on trust.
Current market intelligence
What the market looks like today
See the median asking price, monthly profit, listing multiple and owner workload across the current inventory. You can also see how many listings fall within different budget, income and workload levels.
Open market intelligenceInsights
Research for buyers and sellers
Read market reports, buyer and seller guides, and decision briefs. Each piece focuses on a question that can change how an online business is valued, compared or prepared for a transaction.
Browse insightsMethodology
How every figure is calculated
See how Fit Score is calculated, how DDR derives the investment economics, and how peer cohorts and percentiles are built. The page also explains where the marketplace data comes from and where its limits are.
Read the methodologyFeatured research
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